Turbo decision aided receivers for clipping noise mitigation in coded OFDM

Authors:
Maxime Colas;Guillaume Gelle;David Declercq
Affiliations:
Décom-Crestic Lab, University of Reims Champagne-Ardenne, Reims Cedex, France;Décom-Crestic Lab, University of Reims Champagne-Ardenne, Reims Cedex, France;ETIS Lab, Ecole Nationale Supérieure de l'Electronique et de ses Applications, Cergy Pontoise Cedex, France
Venue:
EURASIP Journal on Wireless Communications and Networking
Year:
2008

Citing 7
Cited 2

Multi-Carrier Digital Communications: Theory and Applications of Ofdm

Multi-Carrier Digital Communications: Theory and Applications of Ofdm
OFDM and MC-CDMA for Broadband Multi-User Communications, WLANs and Broadcasting

OFDM and MC-CDMA for Broadband Multi-User Communications, WLANs and Broadcasting
Recovering clipped OFDM symbols with Bayesian inference

ICASSP '00 Proceedings of the Acoustics, Speech, and Signal Processing, 2000. on IEEE International Conference - Volume 01
Low-complexity MMSE turbo equalization: a possible solution for EDGE

IEEE Transactions on Wireless Communications
The capacity of low-density parity-check codes under message-passing decoding

IEEE Transactions on Information Theory
A soft decision decoding scheme for wireless COFDM with application to DVB-T

IEEE Transactions on Consumer Electronics
Design, analysis, and performance evaluation for BICM-ID with square QAM constellations in Rayleigh fading channels

IEEE Journal on Selected Areas in Communications

Soft decision aided suboptimal ML detection receiver for clipped COFDM transmissions

GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
Iterative soft compensation for OFDM systems with clipping and superposition coded modulation

IEEE Transactions on Communications

Quantified Score

Hi-index	0.00

Visualization

Abstract

Orthogonal frequency division multiplexing (OFDM) is the modulation technique used in most of the high-rate communication standards. However, OFDM signals exhibit high peak average to power ratio (PAPR) that makes them particularly sensitive to nonlinear distortions caused by high-power amplifiers. Hence, the amplifier needs to operate at large output backoff, thereby decreasing the average efficiency of the transmitter. One way to reduce PAPR consists in clipping the amplitude of the OFDM signal introducing an additional noise that degrades the overall system performance. In that case, the receiver needs to set up an algorithm that compensates this clipping noise. In this paper, we propose three new iterative receivers with growing complexity and performance that operate at severe clipping: the first and simplest receiver uses a Viterbi algorithm as channel decoder whereas the other two implement a soft-input soft-output (SISO) decoder. Each soft receiver is analyzed through EXIT charts for different mappings. Finally, the performances of the receivers are simulated on both short time-varying channel and AWGN channel.